A study on the peformance of sliding-pressure operation for turbine unit has been carried out by using back propagation（BP） neural network

and the performance parameters of said operation being optimized. The results show that the application of BP neural network can more accurately work out the computation for specific heat consumption of the said turbine unit in sliding-pressure operation under different loads with different initial pressure

thus the optimal initial pressure can be determined.